Faming Fang

3.6k citations
71 papers · 1.7k indexed · h-index 22
Topics
Advanced Image Fusion Techniques (28 papers)Image and Signal Denoising Methods (27 papers)Advanced Image Processing Techniques (27 papers)
Partner nations
ChinaHong KongCanada

In The Last Decade

Faming Fang

59 papers receiving 1.6k citations

Peers

Faming Fang
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 1.4k
  • Media Technology 962
  • Biomedical Engineering 117
  • Aerospace Engineering 96
  • Computational Mechanics 87
Replace Hongwei Yong with:
Hongwei Yong Hong Kong
Jianrui Cai Hong Kong
Ruxin Wang China
Mei Yu China
Zhihao Wang China
Jae-Young Sim South Korea
Kin Gwn Lore United States
Sunghyun Cho South Korea
Muhammad Haris Japan
Huanjing Yue China
Faming Fang relative to Hongwei Yong Hong Kong Hongwei Yong's profile →
Citations per field
00.5×10×14×
Hongwei Yong · 1×
Citations per year

Countries citing papers authored by Faming Fang

Since Specialization
Citations

This map shows the geographic impact of Faming Fang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Faming Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faming Fang more than expected).

Fields of papers citing papers by Faming Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faming Fang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Faming Fang. The network helps show where Faming Fang may publish in the future.

Co-authorship network of co-authors of Faming Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Faming Fang. A scholar is included among the top collaborators of Faming Fang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Faming Fang. Faming Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 5
6 3
7 3
8 5
9 3
10 3
11 11
12 3
13 31
14 139
15 61
16 37
17 33
18
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction
20
19 4
20 141

About Faming Fang

Faming Fang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (28 papers), Image and Signal Denoising Methods (27 papers) and Advanced Image Processing Techniques (27 papers). The work is most often cited by research in Media Technology (962 citations), Computer Vision and Pattern Recognition (1.4k citations) and Computational Mathematics (11 citations). Faming Fang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Guixu Zhang, Juncheng Li, Fang Li, Tingting Wang, Tieyong Zeng, Liang Chen, Chaomin Shen, Jiaqian Li, Kangfu Mei and Zhihao Gu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026